Logo of Informatica Data Engineering

Informatica Data Engineering

Website LinkedIn Twitter

Last updated on

Company health

Employee growth
2% decrease in the last year
Web traffic
8% decrease in the last quarter
Financing
July 2024 - $408M

Ratings

G2
4.4/5
(26)
Glassdoor
3.9/5
(3334)

Informatica Data Engineering description

Informatica Data Engineering is a cloud-based data management platform designed for businesses of all sizes. It helps you gather, clean, and move data from different sources into a central data warehouse or lake. This makes it easier to analyze your data and make better decisions. Informatica aims to simplify and automate this process, reducing the time and effort needed to manage your data. It offers a range of features, including data integration, data quality management, and intelligent automation, all designed to make your data more reliable and accessible.


Who is Informatica Data Engineering best for

Informatica Data Engineering is a robust cloud platform ideal for enterprise data engineers and architects managing large datasets. Users praise its connectivity, high-volume handling, and comprehensive toolset for complex transformations and automated pipelines. However, some find migration costs high and complex workflows challenging. It simplifies data integration, quality, and automation, making data more reliable and accessible.

  • Best for enterprise companies.

  • Suitable for various industries.


Informatica Data Engineering features

Type in the name of the feature or in your own words tell us what you need
Supported

Informatica Data Engineering offers data cleaning, including deduplication, type correction, and error handling.

Supported

Informatica offers a cloud-based data platform with AI-powered data integration and multi-cloud support.

Supported

Informatica Data Engineering integrates with ERP, CPM, legacy systems, databases, and data warehouses.

Qualities

We evaluate the sentiment that users express about non-functional aspects of the software

Ease of Use

Strongly positive
+1

Reliability and Performance

Neutral
+0

Informatica Data Engineering reviews

We've summarised 26 Informatica Data Engineering reviews (Informatica Data Engineering G2 reviews) and summarised the main points below.

Pros of Informatica Data Engineering
  • Excellent connectivity and compatibility with diverse data sources.
  • Handles large data volumes with high availability and performance.
  • User-friendly interface for most tasks.
  • Comprehensive data engineering toolset with complex transformation capabilities.
  • Effective for building automated data pipelines, including CDC.
Cons of Informatica Data Engineering
  • High migration costs from older Informatica products to the cloud platform.
  • Complex workflows can be challenging for some users.
  • Occasional timezone and Kafka streaming issues reported.
  • Limited support for certain data file types like Kafka topics and mainframe files.
  • Resource-intensive and can be slow at times.

Informatica Data Engineering pricing

The commentary is based on 3 reviews from Informatica Data Engineering G2 reviews.

Informatica Data Engineering pricing is generally considered high, especially for migrations and compared to newer alternatives. Users mention expensive costs even when upgrading from older Informatica products. While it offers robust data engineering solutions, potential users should carefully evaluate the cost.

Users sentiment

Strongly negative
-1

See the Informatica Data Engineering pricing page.


Informatica Data Engineering alternatives

  • Logo of Informatica Intelligent Data Management Cloud
    Informatica Intelligent Data Management Cloud
    Better suited for AI and analytics use cases. A broader range of industry applications, including healthcare, finance, and education. Offers more pre-built connectors and data governance tool integration.
    Read more
  • Logo of Databricks Data Intelligence Platform
    Databricks Data Intelligence Platform
    Better fit for organizations invested in open-source technologies. Wider industry applicability, especially in Healthcare, Wellness, Pharma, and Software, IT & Telecommunications. Has more momentum based on employee growth. Higher ratings. Offers a simplified data and AI acceleration. Provides a data intelligence engine and lakehouse architecture.
    Read more
  • Logo of Amazon Marketing Cloud
    Amazon Marketing Cloud
    More focused on marketing analytics within the Amazon ecosystem. Better for Amazon sellers seeking to understand customer journeys and ad performance. Easier to use, but has limitations in customization and integrations with non-Amazon platforms. Considered more expensive.
    Read more
  • Logo of Looker
    Looker
    Better for business intelligence and data visualization. Easier to use, especially for non-technical users. Stronger integration with Google products. A good Looker alternative for those already in the Google Cloud ecosystem.
    Read more
  • Logo of Snowflake
    Snowflake
    Better for data warehousing and analytics, with seamless integration capabilities and efficient handling of massive datasets. Has stronger momentum in terms of employee growth. Supports NoSQL database integration.
    Read more
  • Logo of Informatica Cloud Data Quality
    Informatica Cloud Data Quality
    More focused on data quality, cleansing, and validation. Better for users seeking robust out-of-the-box data quality rules and address validation.
    Read more

Informatica Data Engineering FAQ

  • What is Informatica Data Engineering and what does Informatica Data Engineering do?

    Informatica Data Engineering is a cloud-based data management platform that helps businesses ingest, prepare, and process data. It offers data integration, quality management, and intelligent automation, enabling users to build robust data pipelines and improve data reliability for better decision-making. It's especially suited for large datasets and complex transformations.

  • How does Informatica Data Engineering integrate with other tools?

    Informatica Data Engineering integrates with various data sources, including ERP, CPM, legacy systems, databases, and data warehouses. This allows for comprehensive data ingestion and processing for diverse business needs. It offers intelligent automation and a cloud-based platform with multi-cloud support.

  • What the main competitors of Informatica Data Engineering?

    Top alternatives to Informatica Data Engineering include Databricks Data Intelligence Platform, Snowflake, and Informatica Intelligent Data Management Cloud. These competitors offer similar data integration, management, and warehousing capabilities, often with a focus on cloud-based solutions and AI-powered features.

  • Is Informatica Data Engineering legit?

    Yes, Informatica Data Engineering is a legitimate cloud-based data management platform. It's known for its robust data integration and automation capabilities, especially for large datasets. However, potential users should be aware of potential migration costs and complex workflows.

  • How much does Informatica Data Engineering cost?

    I'm sorry, but pricing information for Informatica Data Engineering is not available. Contact Informatica directly to obtain a customized quote for product pricing and determine if the product is worth the investment.

  • Is Informatica Data Engineering customer service good?

    Customer reviews on Informatica Data Engineering's support are mixed. While some users praise the helpfulness and ease of use, others mention expensive migration costs and occasional difficulties with specific functionalities. More feedback is needed to determine overall customer service quality.


Reviewed by

MK
Michal Kaczor
CEO at Gralio

Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.

TT
Tymon Terlikiewicz
CTO at Gralio

Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.